AI Engineer (RL & WBC)
Tasks
- Analyze and optimize control performance
- Apply curriculum learning domain randomization sim2real transfer
- Collaborate with mechanical perception and embedded systems teams
- Design reinforcement learning algorithms for robot control
- Develop RL training pipelines and tooling
- Integrate learned policies with hardware platforms
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Control Theory | Deep learning | Distributed Training | JAX | Locomotion dynamics | Machine Learning | Open Source | Open source contribution | Physics simulation | PyTorch | Python | ROS | ROS2 | Reinforcement Learning | TensorFlow
Education
Roles
AI | AI Engineer | Engineer
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